Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1537
pubmed:dateCreated
2009-12-17
pubmed:abstractText
Quantitative genetics, or the genetics of complex traits, is the study of those characters which are not affected by the action of just a few major genes. Its basis is in statistical models and methodology, albeit based on many strong assumptions. While these are formally unrealistic, methods work. Analyses using dense molecular markers are greatly increasing information about the architecture of these traits, but while some genes of large effect are found, even many dozens of genes do not explain all the variation. Hence, new methods of prediction of merit in breeding programmes are again based on essentially numerical methods, but incorporating genomic information. Long-term selection responses are revealed in laboratory selection experiments, and prospects for continued genetic improvement are high. There is extensive genetic variation in natural populations, but better estimates of covariances among multiple traits and their relation to fitness are needed. Methods based on summary statistics and predictions rather than at the individual gene level seem likely to prevail for some time yet.
pubmed:commentsCorrections
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pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1471-2970
pubmed:author
pubmed:issnType
Electronic
pubmed:day
12
pubmed:volume
365
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
73-85
pubmed:dateRevised
2010-9-28
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Understanding and using quantitative genetic variation.
pubmed:affiliation
Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK. w.g.hill@ed.ac.uk
pubmed:publicationType
Journal Article